�ݺ�ߣshows by User: RohitJain0813

�ݺ�ߣshows by User: RohitJain0813 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: RohitJain0813 / Tue, 09 Aug 2016 17:27:08 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: RohitJain0813 In search of database nirvana - The challenges of delivering Hybrid Transaction/Analytical Processing /slideshow/in-search-of-database-nirvana-the-challenges-of-delivering-hybrid-transactionanalytical-processing/64843755 insearchofdatabasenirvanav3-160809172709
Companies are looking for a single database engine that can address all their varied needs—from transactional to analytical workloads, against structured, semi-structured, and unstructured data, leveraging graph, document, text search, column, key value, wide column, and relational data stores; on a single platform without the latency of data transformation and replication. They are looking for the ultimate database nirvana. The term hybrid transactional/analytical processing (HTAP), coined by Gartner, perhaps comes closest to describing this concept. 451 Research uses the terms convergence or converged data platform. The terms multi-model or unified are also used. But can such a nirvana be achieved? Some database vendors claim to have already achieved this nirvana. In this talk we will discuss the following challenges on the path to this nirvana, for you to assess how accurate these claims are: · What is needed for a single query engine to support all workloads? · What does it take for that single query engine to support multiple storage engines, each serving a different need? · Can a single query engine support all data models? · Can it provide enterprise-caliber capabilities? Attendees looking to assess query and storage engines would benefit from understanding what the key considerations are when picking an engine to run their targeted workloads. Also, developers working on such engines can better understand capabilities they need to provide in order to run workloads that span the HTAP spectrum.]]>
Companies are looking for a single database engine that can address all their varied needs—from transactional to analytical workloads, against structured, semi-structured, and unstructured data, leveraging graph, document, text search, column, key value, wide column, and relational data stores; on a single platform without the latency of data transformation and replication. They are looking for the ultimate database nirvana. The term hybrid transactional/analytical processing (HTAP), coined by Gartner, perhaps comes closest to describing this concept. 451 Research uses the terms convergence or converged data platform. The terms multi-model or unified are also used. But can such a nirvana be achieved? Some database vendors claim to have already achieved this nirvana. In this talk we will discuss the following challenges on the path to this nirvana, for you to assess how accurate these claims are: · What is needed for a single query engine to support all workloads? · What does it take for that single query engine to support multiple storage engines, each serving a different need? · Can a single query engine support all data models? · Can it provide enterprise-caliber capabilities? Attendees looking to assess query and storage engines would benefit from understanding what the key considerations are when picking an engine to run their targeted workloads. Also, developers working on such engines can better understand capabilities they need to provide in order to run workloads that span the HTAP spectrum.]]> Tue, 09 Aug 2016 17:27:08 GMT /slideshow/in-search-of-database-nirvana-the-challenges-of-delivering-hybrid-transactionanalytical-processing/64843755 RohitJain0813@slideshare.net(RohitJain0813) In search of database nirvana - The challenges of delivering Hybrid Transaction/Analytical Processing RohitJain0813 Companies are looking for a single database engine that can address all their varied needs—from transactional to analytical workloads, against structured, semi-structured, and unstructured data, leveraging graph, document, text search, column, key value, wide column, and relational data stores; on a single platform without the latency of data transformation and replication. They are looking for the ultimate database nirvana. The term hybrid transactional/analytical processing (HTAP), coined by Gartner, perhaps comes closest to describing this concept. 451 Research uses the terms convergence or converged data platform. The terms multi-model or unified are also used. But can such a nirvana be achieved? Some database vendors claim to have already achieved this nirvana. In this talk we will discuss the following challenges on the path to this nirvana, for you to assess how accurate these claims are: · What is needed for a single query engine to support all workloads? · What does it take for that single query engine to support multiple storage engines, each serving a different need? · Can a single query engine support all data models? · Can it provide enterprise-caliber capabilities? Attendees looking to assess query and storage engines would benefit from understanding what the key considerations are when picking an engine to run their targeted workloads. Also, developers working on such engines can better understand capabilities they need to provide in order to run workloads that span the HTAP spectrum. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/insearchofdatabasenirvanav3-160809172709-thumbnail.jpg?width=120&height=120&fit=bounds" /> Companies are looking for a single database engine that can address all their varied needs—from transactional to analytical workloads, against structured, semi-structured, and unstructured data, leveraging graph, document, text search, column, key value, wide column, and relational data stores; on a single platform without the latency of data transformation and replication. They are looking for the ultimate database nirvana. The term hybrid transactional/analytical processing (HTAP), coined by Gartner, perhaps comes closest to describing this concept. 451 Research uses the terms convergence or converged data platform. The terms multi-model or unified are also used. But can such a nirvana be achieved? Some database vendors claim to have already achieved this nirvana. In this talk we will discuss the following challenges on the path to this nirvana, for you to assess how accurate these claims are: · What is needed for a single query engine to support all workloads? · What does it take for that single query engine to support multiple storage engines, each serving a different need? · Can a single query engine support all data models? · Can it provide enterprise-caliber capabilities? Attendees looking to assess query and storage engines would benefit from understanding what the key considerations are when picking an engine to run their targeted workloads. Also, developers working on such engines can better understand capabilities they need to provide in order to run workloads that span the HTAP spectrum.

In search of database nirvana - The challenges of delivering Hybrid Transaction/Analytical Processing from Rohit Jain

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0 Trafodion overview /slideshow/trafodion-overview/50871558 trafodionoverview-150724021727-lva1-app6891
Overview of Apache Trafodion (incubating), Enterprise Class Transactional SQL-on-Hadoop DBMS, with operational use cases, what it takes to be a world class RDBMS, some performance information, and the new company Esgyn which will leverage Apache Trafodion for operational solutions.]]>
Overview of Apache Trafodion (incubating), Enterprise Class Transactional SQL-on-Hadoop DBMS, with operational use cases, what it takes to be a world class RDBMS, some performance information, and the new company Esgyn which will leverage Apache Trafodion for operational solutions.]]> Fri, 24 Jul 2015 02:17:27 GMT /slideshow/trafodion-overview/50871558 RohitJain0813@slideshare.net(RohitJain0813) Trafodion overview RohitJain0813 Overview of Apache Trafodion (incubating), Enterprise Class Transactional SQL-on-Hadoop DBMS, with operational use cases, what it takes to be a world class RDBMS, some performance information, and the new company Esgyn which will leverage Apache Trafodion for operational solutions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/trafodionoverview-150724021727-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> Overview of Apache Trafodion (incubating), Enterprise Class Transactional SQL-on-Hadoop DBMS, with operational use cases, what it takes to be a world class RDBMS, some performance information, and the new company Esgyn which will leverage Apache Trafodion for operational solutions.

Trafodion overview from Rohit Jain

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0 Trafodion Distributed Transaction Management /slideshow/trafodion-distributed-transaction-management/49898290 trafodiondtmv5-150627053301-lva1-app6891
Trafodion brings a completely distributed scalable transaction management implementation integrated into HBase. It does not suffer from the scale and performance limitations of other transaction managers on HBase. This presentation reviews the elegant architecture and how this architecture is leveraged to provide full ACID SQL transactional capabilities across multiple rows, tables, statements, and region servers. It discusses the life of a transaction from BEGIN WORK, to updates, to ABORT WORK, to COMMIT WORK, and then discusses recovery and high availability capabilities provided. An accompanying white paper goes into depth explaining this animated presentation in more detail. Given the increasing interest for transaction managers on Hadoop, or to provide transactional capabilities for NoSQL users when needed, the Trafodion community can certainly open up this Distributed Transaction Management support to be leveraged by implementations other than Trafodion.]]>
Trafodion brings a completely distributed scalable transaction management implementation integrated into HBase. It does not suffer from the scale and performance limitations of other transaction managers on HBase. This presentation reviews the elegant architecture and how this architecture is leveraged to provide full ACID SQL transactional capabilities across multiple rows, tables, statements, and region servers. It discusses the life of a transaction from BEGIN WORK, to updates, to ABORT WORK, to COMMIT WORK, and then discusses recovery and high availability capabilities provided. An accompanying white paper goes into depth explaining this animated presentation in more detail. Given the increasing interest for transaction managers on Hadoop, or to provide transactional capabilities for NoSQL users when needed, the Trafodion community can certainly open up this Distributed Transaction Management support to be leveraged by implementations other than Trafodion.]]> Sat, 27 Jun 2015 05:33:01 GMT /slideshow/trafodion-distributed-transaction-management/49898290 RohitJain0813@slideshare.net(RohitJain0813) Trafodion Distributed Transaction Management RohitJain0813 Trafodion brings a completely distributed scalable transaction management implementation integrated into HBase. It does not suffer from the scale and performance limitations of other transaction managers on HBase. This presentation reviews the elegant architecture and how this architecture is leveraged to provide full ACID SQL transactional capabilities across multiple rows, tables, statements, and region servers. It discusses the life of a transaction from BEGIN WORK, to updates, to ABORT WORK, to COMMIT WORK, and then discusses recovery and high availability capabilities provided. An accompanying white paper goes into depth explaining this animated presentation in more detail. Given the increasing interest for transaction managers on Hadoop, or to provide transactional capabilities for NoSQL users when needed, the Trafodion community can certainly open up this Distributed Transaction Management support to be leveraged by implementations other than Trafodion. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/trafodiondtmv5-150627053301-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> Trafodion brings a completely distributed scalable transaction management implementation integrated into HBase. It does not suffer from the scale and performance limitations of other transaction managers on HBase. This presentation reviews the elegant architecture and how this architecture is leveraged to provide full ACID SQL transactional capabilities across multiple rows, tables, statements, and region servers. It discusses the life of a transaction from BEGIN WORK, to updates, to ABORT WORK, to COMMIT WORK, and then discusses recovery and high availability capabilities provided. An accompanying white paper goes into depth explaining this animated presentation in more detail. Given the increasing interest for transaction managers on Hadoop, or to provide transactional capabilities for NoSQL users when needed, the Trafodion community can certainly open up this Distributed Transaction Management support to be leveraged by implementations other than Trafodion.

Trafodion Distributed Transaction Management from Rohit Jain

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0 4 - Trafodion Open Source Community /slideshow/4-trafodion-open-source-community/39145373 4-trafodionopensourcecommunity-140916080128-phpapp01
4 - Trafodion Open Source Community]]>
4 - Trafodion Open Source Community]]> Tue, 16 Sep 2014 08:01:28 GMT /slideshow/4-trafodion-open-source-community/39145373 RohitJain0813@slideshare.net(RohitJain0813) 4 - Trafodion Open Source Community RohitJain0813 4 - Trafodion Open Source Community <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/4-trafodionopensourcecommunity-140916080128-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> 4 - Trafodion Open Source Community

4 - Trafodion Open Source Community from Rohit Jain

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0 3 - Trafodion Technology Look /slideshow/3-trafodion-technology-look/39145324 3-trafodiontechnologylook-140916080010-phpapp01
3 - Trafodion Technology Look]]>
3 - Trafodion Technology Look]]> Tue, 16 Sep 2014 08:00:09 GMT /slideshow/3-trafodion-technology-look/39145324 RohitJain0813@slideshare.net(RohitJain0813) 3 - Trafodion Technology Look RohitJain0813 3 - Trafodion Technology Look <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/3-trafodiontechnologylook-140916080010-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> 3 - Trafodion Technology Look

3 - Trafodion Technology Look from Rohit Jain

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0 2 - Trafodion and Hadoop HBase /slideshow/2-trafodion-and-hadoop-h-base/39145273 2-trafodionandhadoophbase-140916075853-phpapp02
2 - Trafodion and Hadoop HBase]]>
2 - Trafodion and Hadoop HBase]]> Tue, 16 Sep 2014 07:58:53 GMT /slideshow/2-trafodion-and-hadoop-h-base/39145273 RohitJain0813@slideshare.net(RohitJain0813) 2 - Trafodion and Hadoop HBase RohitJain0813 2 - Trafodion and Hadoop HBase <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2-trafodionandhadoophbase-140916075853-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> 2 - Trafodion and Hadoop HBase

2 - Trafodion and Hadoop HBase from Rohit Jain

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0 1 - The Case for Trafodion /RohitJain0813/1-the-case-for-trafodion 1-thecasefortrafodion-140916074643-phpapp01
1 - The Case for Trafodion]]>
1 - The Case for Trafodion]]> Tue, 16 Sep 2014 07:46:43 GMT /RohitJain0813/1-the-case-for-trafodion RohitJain0813@slideshare.net(RohitJain0813) 1 - The Case for Trafodion RohitJain0813 1 - The Case for Trafodion <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/1-thecasefortrafodion-140916074643-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> 1 - The Case for Trafodion

1 - The Case for Trafodion from Rohit Jain

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0 https://cdn.slidesharecdn.com/profile-photo-RohitJain0813-48x48.jpg?cb=1560378138 https://cdn.slidesharecdn.com/ss_thumbnails/insearchofdatabasenirvanav3-160809172709-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/in-search-of-database-nirvana-the-challenges-of-delivering-hybrid-transactionanalytical-processing/64843755 In search of database ... https://cdn.slidesharecdn.com/ss_thumbnails/trafodionoverview-150724021727-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/trafodion-overview/50871558 Trafodion overview https://cdn.slidesharecdn.com/ss_thumbnails/trafodiondtmv5-150627053301-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/trafodion-distributed-transaction-management/49898290 Trafodion Distributed ...